Triple

T10696878
Position Surface form Disambiguated ID Type / Status
Subject Sharm El Sheikh International Airport E252166 entity
Predicate cityServed P82 FINISHED
Object Sharm El Sheikh E61877 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sharm El Sheikh | Statement: [Sharm El Sheikh International Airport, cityServed, Sharm El Sheikh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharm El Sheikh
Context triple: [Sharm El Sheikh International Airport, cityServed, Sharm El Sheikh]
  • A. Sharm El Sheikh chosen
    Sharm El Sheikh is a popular Egyptian resort city on the southern tip of the Sinai Peninsula, known for its Red Sea beaches, coral reefs, and diving.
  • B. Hurghada
    Hurghada is a major Egyptian Red Sea resort city known for its beaches, diving, and tourism industry.
  • C. Dahab
    Dahab is a small Egyptian resort town on the southeast coast of the Sinai Peninsula, known for its laid-back atmosphere, diving spots, and windsurfing.
  • D. Marsa Alam
    Marsa Alam is a coastal Egyptian resort town on the western shore of the Red Sea, known for its diving sites, coral reefs, and relatively undeveloped beaches.
  • E. Marsa Matruh
    Marsa Matruh is a coastal city in northwestern Egypt on the Mediterranean Sea, known as a popular summer resort and gateway to nearby beaches and historical sites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd89390c8190969ab2b4a79d5818 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9cef8a48190a0ec4a27d5702e73 completed April 12, 2026, 5:43 p.m.
Created at: April 8, 2026, 9:12 p.m.